NDLI: Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images

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Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images

Content Provider	ACM Digital Library
Author	Chaudhuri, Subhasis Raman, Shanmuganathan
Abstract	High Dynamic Range (HDR) imaging requires one to composite multiple differently exposed images of a scene in the irradiance domain and perform tone mapping of the generated HDR image for displaying on Low Dynamic Range (LDR) devices. In the case of dynamic scenes, standard techniques may introduce artifacts called ghosts if the scene changes are not accounted for. In this paper, we consider the HDR problem for dynamic scenes. We develop a novel bottom-up segmentation algorithm through superpixel grouping which would enable us to detect scene changes. We then employ a piecewise patch-based compositing methodology to directly generate the ghost-free LDR image of the dynamic scene. The primary advantage of our approach is that we do not assume any knowledge of camera response function and exposure settings. Further, our approach performs well even in the case of significant scene changes.
Starting Page	56
Ending Page	63
Page Count	8
File Format	PDF
ISBN	9781450300605
DOI	10.1145/1924559.1924567
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-12-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	High dynamic range imaging Deghosting Computational photography
Content Type	Text
Resource Type	Article

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